
from collections import deque
from math import floor
from random import random
from time import time




class 			UpperCAmelCase_     :


  '''simple docstring'''







  def __init__(					self     :					Union[str, Any]       )     ->      Optional[Any]:







    """simple docstring"""






    __magic_name__								=			{}
  def 				_lowercase				(					self     :					Tuple     ,				UpperCamelCase__     :					Optional[int]     ,				UpperCamelCase__     :					List[Any]     ,				UpperCamelCase__     :					Any=1       )     ->      int:







    """simple docstring"""






    if self.graph.get(UpperCamelCase__       ):
      if self.graph[u].count([w, v]       ) == 0:
        self.graph[u].append([w, v]       )
    else:
      __magic_name__								=			[[w, v]]
    if not self.graph.get(UpperCamelCase__       ):
      __magic_name__								=			[]
  def 				_lowercase				(					self     :					Optional[Any]       )     ->      int:







    """simple docstring"""






    return list(self.graph       )
  def 				_lowercase				(					self     :					Tuple     ,				UpperCamelCase__     :					List[str]     ,				UpperCamelCase__     :					Optional[Any]       )     ->      List[str]:







    """simple docstring"""






    if self.graph.get(UpperCamelCase__       ):
      for _ in self.graph[u]:
        if _[1] == v:
          self.graph[u].remove(UpperCamelCase__       )
  def 				_lowercase				(					self     :					Optional[Any]     ,				UpperCamelCase__     :					Tuple=-2     ,				UpperCamelCase__     :					Any=-1       )     ->      Tuple:







    """simple docstring"""






    if s == d:
      return []
    __magic_name__								=			[]
    __magic_name__								=			[]
    if s == -2:
      __magic_name__								=			list(self.graph       )[0]
    stack.append(UpperCamelCase__       )
    visited.append(UpperCamelCase__       )
    __magic_name__								=			s

    while True:
      # check if there is any non isolated nodes
      if len(self.graph[s]       ) != 0:
        __magic_name__								=			s
        for node in self.graph[s]:
          if visited.count(node[1]       ) < 1:
            if node[1] == d:
              visited.append(UpperCamelCase__       )
              return visited
            else:
              stack.append(node[1]       )
              visited.append(node[1]       )
              __magic_name__								=			node[1]
              break

            # check if all the children are visited
      if s == ss:
        stack.pop()
        if len(UpperCamelCase__       ) != 0:
          __magic_name__								=			stack[len(UpperCamelCase__       ) - 1]
      else:
        __magic_name__								=			ss

      # check if se have reached the starting point
      if len(UpperCamelCase__       ) == 0:
        return visited
  def 				_lowercase				(					self     :					Optional[Any]     ,				UpperCamelCase__     :					Union[str, Any]=-1       )     ->      List[str]:







    """simple docstring"""






    if c == -1:
      __magic_name__								=			floor(random() * 1_0000       ) + 10
    for i in range(UpperCamelCase__       ):
      # every vertex has max 100 edges
      for _ in range(floor(random() * 102       ) + 1       ):
        __magic_name__								=			floor(random() * c       ) + 1
        if n != i:
          self.add_pair(UpperCamelCase__     ,				UpperCamelCase__     ,				1       )
  def 				_lowercase				(					self     :					int     ,				UpperCamelCase__     :					List[Any]=-2       )     ->      List[Any]:







    """simple docstring"""






    __magic_name__								=			deque()
    __magic_name__								=			[]
    if s == -2:
      __magic_name__								=			list(self.graph       )[0]
    d.append(UpperCamelCase__       )
    visited.append(UpperCamelCase__       )
    while d:
      __magic_name__								=			d.popleft()
      if len(self.graph[s]       ) != 0:
        for node in self.graph[s]:
          if visited.count(node[1]       ) < 1:
            d.append(node[1]       )
            visited.append(node[1]       )
    return visited
  def 				_lowercase				(					self     :					List[Any]     ,				UpperCamelCase__     :					Optional[int]       )     ->      Tuple:







    """simple docstring"""






    __magic_name__								=			0
    for x in self.graph:
      for y in self.graph[x]:
        if y[1] == u:
          count += 1
    return count
  def 				_lowercase				(					self     :					str     ,				UpperCamelCase__     :					Optional[int]       )     ->      int:







    """simple docstring"""






    return len(self.graph[u]       )
  def 				_lowercase				(					self     :					Optional[Any]     ,				UpperCamelCase__     :					str=-2       )     ->      int:







    """simple docstring"""






    __magic_name__								=			[]
    __magic_name__								=			[]
    if s == -2:
      __magic_name__								=			list(self.graph       )[0]
    stack.append(UpperCamelCase__       )
    visited.append(UpperCamelCase__       )
    __magic_name__								=			s
    __magic_name__								=			[]

    while True:
      # check if there is any non isolated nodes
      if len(self.graph[s]       ) != 0:
        __magic_name__								=			s
        for node in self.graph[s]:
          if visited.count(node[1]       ) < 1:
            stack.append(node[1]       )
            visited.append(node[1]       )
            __magic_name__								=			node[1]
            break

            # check if all the children are visited
      if s == ss:
        sorted_nodes.append(stack.pop()       )
        if len(UpperCamelCase__       ) != 0:
          __magic_name__								=			stack[len(UpperCamelCase__       ) - 1]
      else:
        __magic_name__								=			ss

      # check if se have reached the starting point
      if len(UpperCamelCase__       ) == 0:
        return sorted_nodes
  def 				_lowercase				(					self     :					Tuple       )     ->      Optional[int]:







    """simple docstring"""






    __magic_name__								=			[]
    __magic_name__								=			[]
    __magic_name__								=			list(self.graph       )[0]
    stack.append(UpperCamelCase__       )
    visited.append(UpperCamelCase__       )
    __magic_name__								=			-2
    __magic_name__								=			[]
    __magic_name__								=			s
    __magic_name__								=			False
    __magic_name__								=			set()

    while True:
      # check if there is any non isolated nodes
      if len(self.graph[s]       ) != 0:
        __magic_name__								=			s
        for node in self.graph[s]:
          if (
              visited.count(node[1]       ) > 0
              and node[1] != parent
              and indirect_parents.count(node[1]       ) > 0
              and not on_the_way_back
          ):
            __magic_name__								=			len(UpperCamelCase__       ) - 1
            while len_stack >= 0:
              if stack[len_stack] == node[1]:
                anticipating_nodes.add(node[1]       )
                break
              else:
                anticipating_nodes.add(stack[len_stack]       )
                len_stack -= 1
          if visited.count(node[1]       ) < 1:
            stack.append(node[1]       )
            visited.append(node[1]       )
            __magic_name__								=			node[1]
            break

            # check if all the children are visited
      if s == ss:
        stack.pop()
        __magic_name__								=			True
        if len(UpperCamelCase__       ) != 0:
          __magic_name__								=			stack[len(UpperCamelCase__       ) - 1]
      else:
        __magic_name__								=			False
        indirect_parents.append(UpperCamelCase__       )
        __magic_name__								=			s
        __magic_name__								=			ss

      # check if se have reached the starting point
      if len(UpperCamelCase__       ) == 0:
        return list(UpperCamelCase__       )
  def 				_lowercase				(					self     :					List[Any]       )     ->      Dict:







    """simple docstring"""






    __magic_name__								=			[]
    __magic_name__								=			[]
    __magic_name__								=			list(self.graph       )[0]
    stack.append(UpperCamelCase__       )
    visited.append(UpperCamelCase__       )
    __magic_name__								=			-2
    __magic_name__								=			[]
    __magic_name__								=			s
    __magic_name__								=			False
    __magic_name__								=			set()

    while True:
      # check if there is any non isolated nodes
      if len(self.graph[s]       ) != 0:
        __magic_name__								=			s
        for node in self.graph[s]:
          if (
              visited.count(node[1]       ) > 0
              and node[1] != parent
              and indirect_parents.count(node[1]       ) > 0
              and not on_the_way_back
          ):
            __magic_name__								=			len(UpperCamelCase__       ) - 1
            while len_stack_minus_one >= 0:
              if stack[len_stack_minus_one] == node[1]:
                anticipating_nodes.add(node[1]       )
                break
              else:
                return True
          if visited.count(node[1]       ) < 1:
            stack.append(node[1]       )
            visited.append(node[1]       )
            __magic_name__								=			node[1]
            break

            # check if all the children are visited
      if s == ss:
        stack.pop()
        __magic_name__								=			True
        if len(UpperCamelCase__       ) != 0:
          __magic_name__								=			stack[len(UpperCamelCase__       ) - 1]
      else:
        __magic_name__								=			False
        indirect_parents.append(UpperCamelCase__       )
        __magic_name__								=			s
        __magic_name__								=			ss

      # check if se have reached the starting point
      if len(UpperCamelCase__       ) == 0:
        return False
  def 				_lowercase				(					self     :					str     ,				UpperCamelCase__     :					Optional[int]=-2     ,				UpperCamelCase__     :					Optional[int]=-1       )     ->      List[Any]:







    """simple docstring"""






    __magic_name__								=			time()
    self.dfs(UpperCamelCase__     ,				UpperCamelCase__       )
    __magic_name__								=			time()
    return end - begin





  def 				_lowercase				(					self     :					List[str]     ,				UpperCamelCase__     :					int=-2       )     ->      Optional[Any]:







    """simple docstring"""






    __magic_name__								=			time()
    self.bfs(UpperCamelCase__       )
    __magic_name__								=			time()
    return end - begin







class 			UpperCAmelCase_     :


  '''simple docstring'''







  def __init__(					self     :					Tuple       )     ->      List[str]:







    """simple docstring"""






    __magic_name__								=			{}
  def 				_lowercase				(					self     :					Optional[Any]     ,				UpperCamelCase__     :					Optional[Any]     ,				UpperCamelCase__     :					Optional[int]     ,				UpperCamelCase__     :					Optional[int]=1       )     ->      Optional[int]:







    """simple docstring"""






    if self.graph.get(UpperCamelCase__       ):
      # if there already is a edge
      if self.graph[u].count([w, v]       ) == 0:
        self.graph[u].append([w, v]       )
    else:
      # if u does not exist
      __magic_name__								=			[[w, v]]
    # add the other way
    if self.graph.get(UpperCamelCase__       ):
      # if there already is a edge
      if self.graph[v].count([w, u]       ) == 0:
        self.graph[v].append([w, u]       )
    else:
      # if u does not exist
      __magic_name__								=			[[w, u]]
  def 				_lowercase				(					self     :					str     ,				UpperCamelCase__     :					Tuple     ,				UpperCamelCase__     :					Optional[int]       )     ->      List[Any]:







    """simple docstring"""






    if self.graph.get(UpperCamelCase__       ):
      for _ in self.graph[u]:
        if _[1] == v:
          self.graph[u].remove(UpperCamelCase__       )
        # the other way round
    if self.graph.get(UpperCamelCase__       ):
      for _ in self.graph[v]:
        if _[1] == u:
          self.graph[v].remove(UpperCamelCase__       )
  def 				_lowercase				(					self     :					Dict     ,				UpperCamelCase__     :					List[Any]=-2     ,				UpperCamelCase__     :					int=-1       )     ->      Union[str, Any]:







    """simple docstring"""






    if s == d:
      return []
    __magic_name__								=			[]
    __magic_name__								=			[]
    if s == -2:
      __magic_name__								=			list(self.graph       )[0]
    stack.append(UpperCamelCase__       )
    visited.append(UpperCamelCase__       )
    __magic_name__								=			s

    while True:
      # check if there is any non isolated nodes
      if len(self.graph[s]       ) != 0:
        __magic_name__								=			s
        for node in self.graph[s]:
          if visited.count(node[1]       ) < 1:
            if node[1] == d:
              visited.append(UpperCamelCase__       )
              return visited
            else:
              stack.append(node[1]       )
              visited.append(node[1]       )
              __magic_name__								=			node[1]
              break

            # check if all the children are visited
      if s == ss:
        stack.pop()
        if len(UpperCamelCase__       ) != 0:
          __magic_name__								=			stack[len(UpperCamelCase__       ) - 1]
      else:
        __magic_name__								=			ss

      # check if se have reached the starting point
      if len(UpperCamelCase__       ) == 0:
        return visited
  def 				_lowercase				(					self     :					List[Any]     ,				UpperCamelCase__     :					Optional[Any]=-1       )     ->      Union[str, Any]:







    """simple docstring"""






    if c == -1:
      __magic_name__								=			floor(random() * 1_0000       ) + 10
    for i in range(UpperCamelCase__       ):
      # every vertex has max 100 edges
      for _ in range(floor(random() * 102       ) + 1       ):
        __magic_name__								=			floor(random() * c       ) + 1
        if n != i:
          self.add_pair(UpperCamelCase__     ,				UpperCamelCase__     ,				1       )
  def 				_lowercase				(					self     :					Union[str, Any]     ,				UpperCamelCase__     :					Tuple=-2       )     ->      Any:







    """simple docstring"""






    __magic_name__								=			deque()
    __magic_name__								=			[]
    if s == -2:
      __magic_name__								=			list(self.graph       )[0]
    d.append(UpperCamelCase__       )
    visited.append(UpperCamelCase__       )
    while d:
      __magic_name__								=			d.popleft()
      if len(self.graph[s]       ) != 0:
        for node in self.graph[s]:
          if visited.count(node[1]       ) < 1:
            d.append(node[1]       )
            visited.append(node[1]       )
    return visited
  def 				_lowercase				(					self     :					Tuple     ,				UpperCamelCase__     :					Optional[Any]       )     ->      Optional[int]:







    """simple docstring"""






    return len(self.graph[u]       )
  def 				_lowercase				(					self     :					Union[str, Any]       )     ->      List[str]:







    """simple docstring"""






    __magic_name__								=			[]
    __magic_name__								=			[]
    __magic_name__								=			list(self.graph       )[0]
    stack.append(UpperCamelCase__       )
    visited.append(UpperCamelCase__       )
    __magic_name__								=			-2
    __magic_name__								=			[]
    __magic_name__								=			s
    __magic_name__								=			False
    __magic_name__								=			set()

    while True:
      # check if there is any non isolated nodes
      if len(self.graph[s]       ) != 0:
        __magic_name__								=			s
        for node in self.graph[s]:
          if (
              visited.count(node[1]       ) > 0
              and node[1] != parent
              and indirect_parents.count(node[1]       ) > 0
              and not on_the_way_back
          ):
            __magic_name__								=			len(UpperCamelCase__       ) - 1
            while len_stack >= 0:
              if stack[len_stack] == node[1]:
                anticipating_nodes.add(node[1]       )
                break
              else:
                anticipating_nodes.add(stack[len_stack]       )
                len_stack -= 1
          if visited.count(node[1]       ) < 1:
            stack.append(node[1]       )
            visited.append(node[1]       )
            __magic_name__								=			node[1]
            break

            # check if all the children are visited
      if s == ss:
        stack.pop()
        __magic_name__								=			True
        if len(UpperCamelCase__       ) != 0:
          __magic_name__								=			stack[len(UpperCamelCase__       ) - 1]
      else:
        __magic_name__								=			False
        indirect_parents.append(UpperCamelCase__       )
        __magic_name__								=			s
        __magic_name__								=			ss

      # check if se have reached the starting point
      if len(UpperCamelCase__       ) == 0:
        return list(UpperCamelCase__       )
  def 				_lowercase				(					self     :					List[Any]       )     ->      int:







    """simple docstring"""






    __magic_name__								=			[]
    __magic_name__								=			[]
    __magic_name__								=			list(self.graph       )[0]
    stack.append(UpperCamelCase__       )
    visited.append(UpperCamelCase__       )
    __magic_name__								=			-2
    __magic_name__								=			[]
    __magic_name__								=			s
    __magic_name__								=			False
    __magic_name__								=			set()

    while True:
      # check if there is any non isolated nodes
      if len(self.graph[s]       ) != 0:
        __magic_name__								=			s
        for node in self.graph[s]:
          if (
              visited.count(node[1]       ) > 0
              and node[1] != parent
              and indirect_parents.count(node[1]       ) > 0
              and not on_the_way_back
          ):
            __magic_name__								=			len(UpperCamelCase__       ) - 1
            while len_stack_minus_one >= 0:
              if stack[len_stack_minus_one] == node[1]:
                anticipating_nodes.add(node[1]       )
                break
              else:
                return True
          if visited.count(node[1]       ) < 1:
            stack.append(node[1]       )
            visited.append(node[1]       )
            __magic_name__								=			node[1]
            break

            # check if all the children are visited
      if s == ss:
        stack.pop()
        __magic_name__								=			True
        if len(UpperCamelCase__       ) != 0:
          __magic_name__								=			stack[len(UpperCamelCase__       ) - 1]
      else:
        __magic_name__								=			False
        indirect_parents.append(UpperCamelCase__       )
        __magic_name__								=			s
        __magic_name__								=			ss

      # check if se have reached the starting point
      if len(UpperCamelCase__       ) == 0:
        return False
  def 				_lowercase				(					self     :					List[str]       )     ->      Dict:







    """simple docstring"""






    return list(self.graph       )
  def 				_lowercase				(					self     :					str     ,				UpperCamelCase__     :					Union[str, Any]=-2     ,				UpperCamelCase__     :					int=-1       )     ->      Dict:







    """simple docstring"""






    __magic_name__								=			time()
    self.dfs(UpperCamelCase__     ,				UpperCamelCase__       )
    __magic_name__								=			time()
    return end - begin





  def 				_lowercase				(					self     :					Optional[Any]     ,				UpperCamelCase__     :					str=-2       )     ->      Any:







    """simple docstring"""






    __magic_name__								=			time()
    self.bfs(UpperCamelCase__       )
    __magic_name__								=			time()
    return end - begin



from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType




class 			UpperCAmelCase_     (					_A	):


  '''simple docstring'''







  a__       			=						["""image_processor""", """tokenizer"""]
  a__       			=						"""BridgeTowerImageProcessor"""
  a__       			=						("""RobertaTokenizer""", """RobertaTokenizerFast""")
  def __init__(					self     :					Optional[Any]     ,				UpperCamelCase__     :					str     ,				UpperCamelCase__     :					Any       )     ->      Optional[int]:







    """simple docstring"""






    super().__init__(UpperCamelCase__     ,				UpperCamelCase__       )
  def __call__(					self     :					Optional[int]     ,				UpperCamelCase__     :					Tuple     ,				UpperCamelCase__     :					Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None     ,				UpperCamelCase__     :					bool = True     ,				UpperCamelCase__     :					Union[bool, str, PaddingStrategy] = False     ,				UpperCamelCase__     :					Union[bool, str, TruncationStrategy] = None     ,				UpperCamelCase__     :					Optional[int] = None     ,				UpperCamelCase__     :					int = 0     ,				UpperCamelCase__     :					Optional[int] = None     ,				UpperCamelCase__     :					Optional[bool] = None     ,				UpperCamelCase__     :					Optional[bool] = None     ,				UpperCamelCase__     :					bool = False     ,				UpperCamelCase__     :					bool = False     ,				UpperCamelCase__     :					bool = False     ,				UpperCamelCase__     :					bool = False     ,				UpperCamelCase__     :					bool = True     ,				UpperCamelCase__     :					Optional[Union[str, TensorType]] = None     ,				**UpperCamelCase__     :					Dict     ,				)     ->      BatchEncoding:







    """simple docstring"""






    __magic_name__								=			self.tokenizer(
        text=UpperCamelCase__     ,				add_special_tokens=UpperCamelCase__     ,				padding=UpperCamelCase__     ,				truncation=UpperCamelCase__     ,				max_length=UpperCamelCase__     ,				stride=UpperCamelCase__     ,				pad_to_multiple_of=UpperCamelCase__     ,				return_token_type_ids=UpperCamelCase__     ,				return_attention_mask=UpperCamelCase__     ,				return_overflowing_tokens=UpperCamelCase__     ,				return_special_tokens_mask=UpperCamelCase__     ,				return_offsets_mapping=UpperCamelCase__     ,				return_length=UpperCamelCase__     ,				verbose=UpperCamelCase__     ,				return_tensors=UpperCamelCase__     ,				**UpperCamelCase__     ,				)
    # add pixel_values + pixel_mask
    __magic_name__								=			self.image_processor(
        UpperCamelCase__     ,				return_tensors=UpperCamelCase__     ,				do_normalize=UpperCamelCase__     ,				do_center_crop=UpperCamelCase__     ,				**UpperCamelCase__       )
    encoding.update(UpperCamelCase__       )

    return encoding
  def 				_lowercase				(					self     :					Optional[Any]     ,				*UpperCamelCase__     :					Optional[Any]     ,				**UpperCamelCase__     :					str       )     ->      str:







    """simple docstring"""






    return self.tokenizer.batch_decode(*UpperCamelCase__     ,				**UpperCamelCase__       )
  def 				_lowercase				(					self     :					Dict     ,				*UpperCamelCase__     :					int     ,				**UpperCamelCase__     :					Optional[Any]       )     ->      str:







    """simple docstring"""






    return self.tokenizer.decode(*UpperCamelCase__     ,				**UpperCamelCase__       )





  @property
  def 				_lowercase				(					self     :					Tuple       )     ->      Union[str, Any]:







    """simple docstring"""






    __magic_name__								=			self.tokenizer.model_input_names
    __magic_name__								=			self.image_processor.model_input_names
    return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names       )       )

